Assigning slots to user interface elements

ABSTRACT

Disclosed are various embodiments for assigning user interface widgets to page slots associated with a page template. In response to a request to generate a content page, content placement requests are then received from user interface widgets. The page slots are associated with a placement value indicating a value of the page slot relative to other page slots in the page template. The highest ranked user interface widgets according to an effectiveness metric or placement score are scheduled for placement in the content page.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of and claims the benefit of U.S.patent application Ser. No. 13/555,388, entitled “ASSIGNING SLOTS TOUSER INTERFACE ELEMENTS,” and filed Jul. 23, 2012, which is herebyincorporated by reference in its entirety.

BACKGROUND

A network site may include any number of content pages, such as webpages. A network site for an online retailer may include, for example,one or more content pages for each category of items offered for orderby the online retailer as well as other content pages. When a request togenerate a content page is received from a client device via a browser,for example, the network site can personalize the content placed in thecontent page depending upon various factors.

BRIEF DESCRIPTION OF THE DRAWINGS

Many aspects of the present disclosure can be better understood withreference to the following drawings. The components in the drawings arenot necessarily to scale, emphasis instead being placed upon clearlyillustrating the principles of the disclosure. Moreover, in thedrawings, like reference numerals designate corresponding partsthroughout the several views.

FIG. 1 is a drawing of a networked environment according to variousembodiments of the present disclosure.

FIG. 2 is a drawing of an example of an illustration of page slots in acontent page associated with a page template employed in the networkedenvironment of FIG. 1 according to various embodiments of the presentdisclosure.

FIGS. 3A-3D are drawings of slot groups in a content page associatedwith a page template employed in the networked environment of FIG. 1according to various embodiments of the present disclosure.

FIG. 4 is a drawing of an example content page generated by the contentpage generation application executed by a computing device in thenetworked environment of FIG. 1 according to various embodiments of thepresent disclosure.

FIG. 5 is a flowchart illustrating an example of functionalityimplemented as portions of a content page generation applicationexecuted in a computing resource in the networked environment of FIG. 1according to various embodiments of the present disclosure.

FIG. 6 is a schematic block diagram that provides one exampleillustration of a computing device employed in the networked environmentof FIG. 1 according to various embodiments of the present disclosure.

DETAILED DESCRIPTION

Embodiments of the present disclosure are directed to placement ofcontent, such as user interface widgets, within page slots defined by apage template that is associated with a content page of a network site.Embodiments of the disclosure can select user interface widgets forplacement within a content page from among multiple candidates basedupon an effectiveness metric that is calculated for the candidate userinterface widgets. In the case of a content page generated for an onlineretailer site or electronic commerce system, this effectiveness metriccan be related to the profit and/or revenue generated by the userinterface widget in relation to other user interface widgets.Additionally, page slots can also be segmented into various slot groupsin which user interface widgets can be selected for placement inresponse to a request to generate a content page.

Although the various embodiments herein are described in the context ofa network site configured for an online retailer, it is understood thatthe principles disclosed herein may apply to any type of network site(e.g., search engine, social networking system, etc.) that could benefitfrom selection and/or placement of user interface widgets in a contentpage depending upon any type of ranking of the user interface widgetsaccording to any metric.

With reference to FIG. 1, shown is a networked environment 100 accordingto various embodiments. The networked environment 100 includes acomputing device 103 that is in data communication with one or moreclients 106 by way of a network 109. The network 109 includes, forexample, the Internet, intranets, extranets, wide area networks (WANs),local area networks (LANs), wired networks, wireless networks, or othersuitable networks, etc., or any combination of two or more suchnetworks.

The computing device 103 may comprise, for example, a server computer orany other computing device or system providing computing capability. Thecomputing device 103 may represent multiple computer systems arranged,for example, in one or more server banks or other arrangements. To thisend, the computing device 103 may comprise, for example, a cloudcomputing resource, a grid computing resource, and/or any otherdistributed computing arrangement. Such computer systems may be locatedin a single installation or may be dispersed among many differentgeographical locations. For purposes of convenience, the computingdevice 103 is referred to herein in the singular. However, in oneembodiment, the computing device 103 represents a plurality of computersystems arranged as described above.

Various applications and/or other functionality may be executed in thecomputing device 103 according to various embodiments. Also, variousdata is stored in a data store 112 that is accessible to the computingdevice 103. The data store 112 may be representative of a plurality ofdata stores as can be appreciated. The data stored in the data store112, for example, is associated with the operation of the variousapplications and/or functional entities described below.

The components executed on the computing device 103, for example,include a site server application 115, a content page generationapplication 118, user interface (UI) widgets 125, and otherapplications, services, processes, systems, engines, or functionalitynot discussed in detail herein. The site server application 115 isexecuted to receive content page requests from the client 106 over thenetwork 109, and to serve up content pages in response to the contentpage requests. The site server application 115 may comprise a web serverapplication such as Apache Hypertext Transfer Protocol (HTTP) Server,Microsoft® Internet Information Services (IIS), and/or any other type ofcontent page server application.

The content page generation application 118 is executed in response to acontent page request received by the site server application 115 inorder to generate a content page corresponding to the content pagerequest. The content page generation application 118 can dynamicallyassemble a content page from a page template by generating a contentpage in which content generated from various user interface widgets areplaced depending upon various factors associated with the request aswill be described herein. In one embodiment, the content page generationapplication 118 includes an interpreter for JavaServer Pages (JSP) thatgenerates a content page, such as a hypertext markup language (HTML)page from a JSP page that defines how the HTML page should bedynamically generated.

UI widgets 125 define one or more functional applications and/orservices that may be executed to provide dynamic content for placementwithin a content page. As a non-limiting example, a UI widget 125 maygenerate markup language that is placed within a content page generatedby the content page generation application 118 in response to a requestto generate a content page received from a client 106. In oneembodiment, a UI widget 125 can comprise JavaScript code or otherclient-side code that retrieves data that can be placed within a contentpage generated from a page template 124. In one embodiment, a UI widget125 may comprise code that is executed by the content page generationapplication 118 to retrieve product recommendations as well ashyperlinks, text and imagery associated with the recommendations thatcan be placed in the content page. In this example, the productrecommendations can be tailored to a user account associated with auser. Thus, the UI widget 125 can detect a user account associated witha browser session and obtain product recommendations generated by aproduct recommendation engine and place content related to therecommendations in the content page.

In some embodiments, UI widgets 125 can be implemented as services thatlisten for an event associated with a request to generate a content pagethat is received by the site server application 115. When the siteserver application 115 and/or content page generation application 118receives such a request, the UI widgets 125 can initiate contentplacement requests that represent requests to schedule content forplacement within the content page that is generated responsive to therequest received from the client 106 to generate a content page. Inresponse to a content placement request from UI widgets 125, the contentpage generation application 118 can select markup language generated bycertain UI widgets 125 for placement in the content page based upon aneffectiveness metric associated with the UI widgets 125 initiating sucha request as well as other considerations.

In other embodiments, the content page generation application 118 cangenerate a ranking of UI widgets 125 with respect a known set ofavailable UI widgets 125 based upon performance data as well asscheduling data that is stored in the data store 112 without receiving ascheduling request from a UI widget 125 implemented as a service thatlistens for requests to generate content pages. In this scenario, thecontent page generation application 118 can select certain UI widgets125 according to data stored in the data store 112 and request theselected UI widgets 125 to generate markup language for placement withina content page.

The data stored in the data store 112 includes, for example, pagetemplates 124, content page data 126, and user interface widget data127. Page templates 124 can specify the placement of user interfaceelements with which a user on a client 106 can interact. As anon-limiting example, in an electronic retail site implemented by thecomputing device 103, the page templates 124 can specify the placementof text, imagery, buttons, etc., which can include user interfaceelements that facilitate the purchase of an item (e.g., an “Add to Cart”button). As an alternative example, a page template 124 for a searchengine implemented by the computing device 103 can specify whereimagery, search forms, search results, etc. are placed on a content pagegenerated by the content page generation application 118 for a user on aclient 106.

The data store 112 also includes various user interface widget data 127such as images, strings, video and other data that can be incorporatedinto markup language generated by a user interface widget 125. Themarkup language can be placed within a content page based upon a pagetemplate 124. Widget data 127 can also include scheduling data 135 andperformance data 137 associated with the various widgets 125 that can berequested to generate markup language for placement within one or morepage slots 131. Scheduling data 135 can include scheduling constraintsand/or requirements regarding the placement of UI widgets 125 within acontent page generated by the content page generation application 118.For example, scheduling data 135 can specify a percentage of contentpages corresponding to a specific page template 124 in which a UI widget125 should be placed due to business reasons, aesthetic factors, or anyother factors as can be appreciated. For example, scheduling data 135can be employed to manually override selection of UI widgets 125 forplacement within a content page generated by the content page generationapplication 118 irrespective of the ranking of a UI widget 125 accordingto an effectiveness metric.

Performance data 137 can provide performance data associated with thevarious available UI widgets 125 according to the effectiveness metric.Accordingly, the content page generation application 118 can select UIwidgets 125 based upon the performance data 137 and request that certainUI widgets 125 generate markup language for placement within a contentpage based upon the performance data 137 as well as schedulingconstraints defined by the scheduling data 135.

The content page data 126 includes content pages and components thereofwhich are static or not otherwise generated by the content pagegeneration application 118 such as images, strings, and other dataincorporated into a content page. Page templates 124 also include one ormore page slots 131 that specify locations within a content page inwhich content such as UI widgets 125 can be placed. Page slots 131 canalso be associated with a placement value that indicates a value of aparticular page slot 131 relative to other page slots 131 that arewithin a page template 124. The placement value can represent a metricthat is linked with an amount of user attention that a particular pageslot is predicted to receive based upon its location in a content page.For example, a top center page slot may be associated with the highestplacement value because it may receive the highest amount of userattention as compared to a page slot in a footer location. Additionally,a placement value can also take into account one or more other factors,such as a click rate associated with the page slot 131, a conversionrate associated with content placed in the page slot 131, and/oreconomic factors, such as a profitability or revenue metric associatedwith the page slot 131. The placement value can also take into accountother engagement metrics associated with a page slot 131, such as anamount of time that a population of users of a site interacts with thepage slot 131 relative to other page slots 131 in the page template 123.Such an engagement metric can be represented by a mouse hover timeassociated with the page slot 131 or any other form of user interactionwith a location within a page template 123. Accordingly, the page slots131 of a particular page template 123 can be effectively ranked within apage template 124 according to the placement value associated with eachpage slot 131.

Page slots 131 can also be grouped into slot groups 133. A slot group133 can include multiple page slots 131 that possess a commoncharacteristic, such as a geometry of the page slot 131, proximity ofthe page slots 131 relative to one another, and/or placement values ofthe page slots 131. For example, page slots 131 having a common geometrycan be assigned to a common slot group 133. Accordingly, the UI widgets125 that are candidates for placement within the page slots 131 can bechosen to produce markup language for the common geometry and withoutregard to a particular page slot 131 within the slot group 133 in whichthe UI widget 125 is placed.

The client 106 is representative of a plurality of client devices thatmay be coupled to the network 109. The client 106 may comprise, forexample, a processor-based system such as a computer system. Such acomputer system may be embodied in the form of a desktop computer, alaptop computer, a personal digital assistant, a cellular telephone,set-top box, music players, web pads, tablet computer systems, or otherdevices with like capability.

The client 106 may be configured to execute various applications such asa browser 148 and/or other applications. The browser 148 may be executedin a client 106, for example, to access and render content pages, suchas web pages, or other network content served up by the computing device103 and/or other servers. The client 106 may be configured to executeapplications beyond browser 148 such as, for example, emailapplications, instant message applications, and/or other applications.

Next, a general description of the operation of the various componentsof the networked environment 100 is provided. To begin, a browser 148executed in a client 106 can generate a request to generate a contentpage, which is transmitted via the network 109 to the site serverapplication 115. The site server application 115 can invoke the contentpage generation application 118, which identifies a particular pagetemplate 124 associated with the requested content page and dynamicallygenerates a content page, which the site server application 115transmits to the client 106 via the network 109.

Accordingly, to generate such a content page in response to receiving arequest to generate a content page, the content page generationapplication 118 selects UI widgets 125 for placement in the contentpage. The content page generation application 118 requests that theselected UI widgets 125 generate markup language that can beincorporated into the content page markup language within respectivepage slots 131 specified by the page template 124. The content pagegeneration application 118 can then generate a ranking of the UI widgets125 corresponding to the content placement requests according to aneffectiveness metric or placement score, which, as noted above, can berelated to profitability, revenue, or any other metric as can beappreciated.

An effectiveness metric can also be related to a volume of items sold bya particularly UI widget 125 in an electronic commerce system. Theeffectiveness metric can also relate to an engagement metric, such as aclick-through rate associated with a particular UI widget 125. Anotherexample of such an engagement metric is a dwell time, or an amount oftime that a population of users of a site focus their attention (e.g.,hovers a mouse pointer above or near a UI widget 125, etc.), on aparticular UI widget 125 relative to other UI widgets 125. Theengagement metric can further relate to a conversion rate of a UI widget125, where conversion of a user can be defined in various ways. Forexample, conversion of a user can correspond to engagement orinteraction with a widget, whether the UI widget 125 results in the saleof a particular item in an electronic commerce system, or any other typeof user conversion as can be appreciated.

Accordingly, the performance data 137 can define the effectivenessmetric associated with the various widgets upon which a ranking can bebased. Calculation of such a score and ranking of UI widgets 125according to a calculated score can be accomplished as described in U.S.patent application Ser. No. 11/758,932 filed Jun. 6, 2007 and entitled“Real-time Adaptive Probabilistic Selection of Messages,” which isincorporated herein by reference in its entirety. The effectivenessmetric can also include some degree of randomness so that lowly rankedUI widgets 125 and/or new UI widgets 125 receive an opportunity forplacement within content pages.

As noted above, in one embodiment, the content page generationapplication 118 can generate an event that informs the various UIwidgets 125 that a request to generate a content page has been received.In response to such a request, one or more UI widgets 125 can generaterequests for placement within the content page. In response to receivingsuch a request, the content page generation application 118 can generatea ranking of the UI widgets 125 according to the effectiveness metric ofthe various widgets.

The content page generation application 118 can then select the highestranked UI widgets 125 according to the effectiveness metric and requestthat the highest ranked UI widgets 125 generate markup language forplacement within available page slots 131 defined by the page template124. In some embodiments, the content page generation application 118can also place the UI widgets 125 into the page slots 131 so that thehighest ranked UI widget 125 is placed in the page slot 131 having thehighest placement value, the second highest ranked UI widget 125 isplaced in page slot 131 having the second highest placement value, andso on. In this way, the content page generation application 118 canoptimize placement of UI widgets 125 across an entire content pagecorresponding to a particular page template 124 rather than just withina single page slot that may be defined by the page template 124.

It should be appreciated that some UI widgets 125 considered forplacement within the content page may fail to achieve a high enoughranking relative to other UI widgets 125 and that these UI widgets 125may fail to gain placement within the content page. In other words,there may be more UI widgets 125 considered for placement within thecontent page than there are available page slots 131. In some scenarios,a single UI widget 125 can be associated with multiple requests to placecontent within a content page corresponding to a page template 124 inresponse to a single request to generate a content page. For example, aUI widget 125 can be configured to generate multiple types of contentfor placement in a content page. A UI widget 125 configured to generateproduct recommendations in an online retail site may generaterecommendations related to a user's purchase history when invoked afirst time and then may generate recommendations related to recentlyviewed products by the user when invoked a second time.

Additionally, in some embodiments, the content page generationapplication 118 can also consider the various UI widgets 125 forplacement within the various slot groups 133 defined by the pagetemplate 124 according to one or more properties associated with each ofthe slot groups 133. The content page generation application 118 canthen generate a ranking of UI widgets 125 considered for placement in aparticular slot group 133 according to the effectiveness metric. Theproperties associated with each of the slot groups 133 can comprise oneor more properties shared by the page slots 131 within the slot groups133, such as, geometry of the page slots 131, location of the page slots131 within the page template 124, a placement value range, or otherproperties of a page slot 131 as can be appreciated. Upon generating aranking of the UI widgets 125 for each of the slot groups 133, thecontent page generation application 118 assigns the UI widgets 125 topage slots 131 within the slot groups 133 according to the ranking andplacement value of the page slots 131. For example, a highest ranked UIwidget 125 is assigned to a page slot 131 within a slot group 133 havingthe highest placement value, a second highest ranked UI widget 125 isassigned to a page slot 131 within the slot group 133 having the secondhighest placement value, and so on.

Upon assigning a UI widget 125 to a particular page slot 131 accordingto an effectiveness metric ranking as well as placement value of thepage slot 131, the content page generation application 118 can requestthat the UI widgets 125 generate markup language for placement withintheir assigned page slots 131. In one embodiment, the content pagegeneration application 118 can initiate these requests in parallel tospeed the time required for generation of a content page in response toa request to generate the content page received from a client 106.Additionally, the markup language generated by certain UI widgets 125may be dependent upon the ranking of the UI widget 125 relative to otherUI widget 125. Accordingly, the content page generation application 118can provide to a UI widget 125 its ranking relative to other widgetsscheduled for placement in the request to generate markup language. Insome embodiments, the content page generation application 118 canprovide the UI widgets 125 that are ranked above a particular UI widget125 according to the effectiveness metric.

In some scenarios, one or more of the UI widgets 125 placed in a pageslot 131 of the page template 124 corresponding to the requested contentpage may experience an error that causes generation of the markuplanguage to fail. Accordingly, in such a scenario, the content pagegeneration application 118 can select a next highest ranked UI widget125 according to the effectiveness metric and request that the nexthighest ranked UI widget 125 generate markup language for placementwithin the content page. The content page generation application 118 canprovide in the request an identity of the UI widgets 125 that are, atthe time of failure, ranked above the UI widget 125 according to theeffectiveness metric in the event that the next highest UI widget 125 iscontext aware.

In one embodiment, the UI widgets 125 can be associated with an errorrate that expresses how often a given UI widget 125 experiences an errorand fails to generate markup language when requested to do so by thecontent page generation application 118. Accordingly, if an error rateof a UI widget 125 exceeds a predefined threshold, or if the UI widget125 is “error prone,” the content page generation application 118 canrequest the next highest ranked unscheduled UI widget 125 to generatemarkup language without waiting for the error prone UI widget 125 toreturn an error to the content page generation application 118.

Additionally, a UI widget 125 can define data dependencies that thecontent page generation application 118 can analyze to anticipatewhether a UI widget 125, if placed in a content page, will experience anerror if requested to generate markup language. For example, in the caseof a UI widget 125 in an online retail site, the UI widget 125 maydefine a data dependency related to a virtual shopping cart of a user,whether a user account associated with a given session can beidentified, and/or any other environmental variable or conditions thatmay govern whether the UI widget 125 can successfully generate markuplanguage when requested to do so. If the content page generationapplication 118 can determine that a data dependency defined by a UIwidget 125 is not present, then the content page generation application118 can request the next highest widget to generate markup languagewithout waiting for the UI widget 125 to experience an error.

In other embodiments, the content page generation application 118 canrequest additional UI widgets 125 beyond those that are selected for thepage slots 131 in a given page template 124 to generate markup languagefor placement within the content page in the event that one or more ofthe selected UI widgets 125 experiences an error. In other words, thecontent page generation application 118 can pre-fetch markup languagefrom UI widgets 125 that are unscheduled in the event that a scheduledUI widget 125 experiences an error.

Referring next to FIG. 2, shown is one example of a representation of acontent page 201 corresponding to a page template 124. The example ofFIG. 2 is purely illustrative and is not meant to represent a contentpage generated by the content page generation application 118 or a pagetemplate 124 from which a content page is generated. The illustrativeexample of FIG. 2 shows the various page slots 131 that can be definedby a page template 124 corresponding to the content page 201. As shownin FIG. 2, slots 206 a, 206 b, and 206 c are positioned in a centerportion of the content page 201 and may be associated with a respectiveplacement values from highest to lowest in that order. Slots 207 a, 207b, 207 c, and 207 d may be associated with lower placement values thanslots 207 a, 207 b, and 207 c and are ranked from highest to lowest fromleft to right as they appear in the content page 201. A footer slot 215may be associated with the lowest placement value relative to the otherpage slots within the content page 201.

Accordingly, when a request to generate the content page is received bythe content page generation application 118, the content page generationapplication 118 can consider the various UI widgets 125 for placementwithin the content page. As noted above, in some embodiments, thecontent page generation application 118 can generate an event thatinforms the various UI widgets 125 of the incoming request, which can inturn submit requests to schedule content within the content page that isgenerated by the content page generation application 118. The contentpage generation application 118 can generate a ranking according to aplacement score and/or performance data 137 associated with the UIwidgets 125 considered to schedule content in the content page.

Reference is now made to FIGS. 3A-3D, which illustrate how the pageslots 131 associated with the content page 201 can also be segmentedinto slot groups. In the depicted example, slot group 301 is associatedwith slots 206 a, 206 b, and 206 c, which have a similar geometry.Similarly, as shown in FIG. 3B, slot group 303 is associated with slots207 a, 207 b, 207 c, and 207 d, which also have a similar geometry.Finally, as shown in FIG. 3C, footer slot 215 is associated with slotgroup 305. It should be appreciated that page slots 131 need not begrouped together with other page slots 131 having a similar geometryand/or location within a page template 124. For example, as shown inFIG. 3D, slot group 311 can be associated with slots 206 a and 207 d,which share neither geometry nor location within the content page 201.

Therefore, upon receiving a request to generate the depicted contentpage 201, the content page generation application 118 polls the UIwidgets 125 and/or generates an event corresponding to the request. Thecontent page generation application 118 provides an indication of thepage slots and/or slot groups that are present within the depictedcontent page, and UI widgets 125 can then generate requests to schedulecontent within one or more of the slot groups 301, 303, and 305.Additionally, the content page generation application 118 can alsoprovide an indication of a common characteristic shared between theslots within each of the slot groups, such as the dimensions of theslots within each of the slot groups, the placement value of one or moreof the slots, the locations of the slots in the page template 124, orany other characteristic of the slots and/or slot groups.

Accordingly, the requests received from the various UI widgets 125 canbe specific to one or more of the slot groups 301, 303, and 305 that aredefined by the page template 124 corresponding to the content page 201.As one example, a UI widget 125 may be configured to only requestscheduling of content in a slot and/or slot group that is associatedwith a particular geometry, placement value and/or location withincontent page. Therefore, a request to schedule content may be limited toa particular slot and/or slot group. As described above, the contentpage generation application 118 can then generate a ranking of the UIwidgets 125 requesting content to be scheduled in the content page. Inthe example of FIGS. 3A-3D, the content page generation application 118can generate such a ranking on a group by group basis so that threeindependent rankings are generated. For example, a ranking of UI widgets125 requesting placement within slot group 301 is generated and thecontent page generation application 118 places the highest ranked UIwidget 125 with respect to the slot group into the page slot having thehighest placement value. The same process is performed for the remainingslot groups 303 and 305.

Referring next to FIG. 4, shown is an example content page 401 that canbe generated by the content page generation application 118 andtransmitted to a client 106 via the network 109. In the example of FIG.4, the content page generation application 118 has received variouscontent scheduling requests associated with the various slot groupsassociated with the content page 401 as shown with reference to FIGS.3A-3D. Upon generating a ranking of the UI widgets 125 requestingplacement within the content page 401, the content page generationapplication 118 then matches the highest ranked UI widgets 125 accordingto the effectiveness metric with the page slots (or page slots within arequested slot group) having the highest placement value. The contentpage generation application 118 then requests that the UI widgets 125corresponding to these requests generate markup language for placementwithin the various page slots. The content page generation application118 can pass one or more parameters along with these requests togenerate markup language, including a ranking of the respective UIwidgets 125 according to the effectiveness metric relative to other UIwidgets 125 scheduled for placement within the content page and/orwithin a particular slot group. As another example, the content pagegeneration application 118 can pass one or more parameters identifyingthe particular UI widgets 125 that are ranked ahead of a UI widget 125in the event that the UI widgets 125 selected for placement within thecontent page 401 are context aware.

Upon receiving the markup language from each of the various UI widgets125 scheduled for placement within the content page 401, the contentpage generation application 118 can generate the markup languageassociated with the entire content page 401 and transmit the generatedpage to a client 106. As noted above, in some scenarios, a UI widget 125scheduled for placement within a page slot 131 may encounter an errorand fail to generate any markup language when requested by the contentpage generation application 118. For example, certain UI widgets 125 mayrequire that a user be logged into a user account associated with anonline retail site in order to generate personalized content. If theuser is not logged into a user account, the UI widget 125 may return anerror instead of generating markup language.

Therefore, in such a scenario, the content page generation application118 can select the next highest ranked UI widget 125 according to theeffectiveness metric that was not selected to placement in the contentpage 401. The content page generation application 118 can request thatthe next highest ranked UI widget 125 generate markup language forinclusion in the content page 401, and such a request can include theranking of the UI widget as well as the identity of the UI widgets 125that are ranked higher than the UI widget 125 according to theeffectiveness metric.

Referring next to FIG. 5, shown is a flowchart that provides one exampleof the operation of a portion of the content page generation application118 according to various embodiments. It is understood that theflowchart of FIG. 5 provides merely an example of the many differenttypes of functional arrangements that may be employed to implement theoperation of the portion of the content page generation application 118as described herein. As an alternative, the flowchart of FIG. 5 may beviewed as depicting an example of steps of a method implemented in thecomputing device 103 (FIG. 1) according to one or more embodiments.

Beginning with box 501, the content page generation application 118 canreceive a request to generate a content page that is, for example,requested via browser 148 executed by a client 106 via a network 109. Inbox 503, the content page generation application 118 identifies a pagetemplate 124 corresponding to the requested content page. The pagetemplate 124 defines the structure of the content page that andspecifies the location, size, placement value, and other attributesassociated with page slots 131. Additionally, the page template 124specifies whether the page slots 131 in a content page are grouped intoslot groups 133.

In some embodiments, a page template 124 corresponding to a content pagegenerated by the content page generation application 118 can bedynamically generated. In other words, a page template 124 correspondingto a content page created by the content page generation application 118and transmitted to a client may be generated in real time upon receiptof a request to generate a content page. In this scenario, the pageslots 131, slot groups 133 as well as corresponding placement values forthe page slots 131 are calculated in real time. The placement value ofpage slot 131 in such a page template 124 can be calculated by employinga heuristic approach that calculates placement values based upon theplacement value of page slots 131 in another preexisting page template124. In such a scenario, the placement value of page slots 131 in adynamically generated page template 124 can be calculated based upon theknown placement value of slots in another page template 124 of similargeometry and/or location within the page template 124.

In box 505, the content page generation application 118 receives and/orgenerates requests to schedule content in the content page. The requestscan comprise requests to schedule content within a particular slot groupdefined by the page template 124 or requests to schedule content withinthe entire content page. The requests can be received from UI widgets125 executed by the computing device 103 and/or generated by the contentpage generation application 118 by consulting scheduling data 135 and/orperformance data 137.

In box 507, the content page generation application 118 generates aranking of the UI widgets 125 considered for placement in the contentpage according to an effectiveness metric. In the event that the pagetemplate 124 defines slot groups 133, the content page generationapplication 118 can generate a ranking of the UI widgets 125 requestingplacement for each of the slot groups 133. In box 509, the content pagegeneration application 118 matches the UI widgets 125 with page slots131 defined by the page template 124 according to the effectivenessmetric ranking and the placement value of the page slots 131. In otherwords, the highest ranked UI widget 125 within the page template 124and/or a particular slot group 133 is matched with the page slot 131having the highest placement value. Similarly, the second highest rankedUI widget 125 within the page template 124 and/or a particular slotgroup 133 is matched with the page slot 131 having the second highestplacement value, and so on.

In box 511, the content page generation application 118 requests markuplanguage from the UI widgets 125 scheduled for placement within thecontent page. The markup language can include HTML, for example, and isplaced within the content page generated by the content page generationapplication 118. As noted above, the requests to generate markuplanguage can be initiated in parallel to minimize latency associatedwith producing a content page responsive to a request from a browser148.

If one or more of the UI widgets 125 encounters an error and/or fails togenerate markup language for inclusion in the content page in itsassigned page slot in box 513, the content page generation application118 can select the next highest ranked unscheduled UI widget 125 in box515. In some embodiments, the next highest ranked unscheduled UI widget125 may be one that has already been scheduled for placement in a pageslot 131 in the content page. Accordingly, the content page generationapplication 118 and inform the next highest ranked unscheduled UI widget125 of the identity of the widgets that are ranked above the widgetwithin the content page and/or slot group 133 in the event that thewidget is context aware. In box 517, the content page generationapplication 118 can request markup language from the replacement widget.Thereafter, the portion of the content page generation application 118ends.

With reference to FIG. 6, shown is a schematic block diagram of thecomputing device 103 according to an embodiment of the presentdisclosure. The computing device 103 includes at least one processorcircuit, for example, having a processor 603 and a memory 606, both ofwhich are coupled to a local interface 609. To this end, the computingdevice 103 may comprise, for example, at least one server computer orlike device. The local interface 609 may comprise, for example, a databus with an accompanying address/control bus or other bus structure ascan be appreciated.

Stored in the memory 606 are both data and several components that areexecutable by the processor 603. In particular, stored in the memory 606and executable by the processor 603 are the content page generationapplication 118, the site server application 115, and potentially otherapplications. Also stored in the memory 606 may be a data store 112 andother data. In addition, an operating system may be stored in the memory606 and executable by the processor 603.

It is understood that there may be other applications that are stored inthe memory 606 and are executable by the processors 603 as can beappreciated. Where any component discussed herein is implemented in theform of software, any one of a number of programming languages may beemployed such as, for example, C, C++, C#, Objective C, Java, JavaScript, Perl, PHP, Visual Basic, Python, Ruby, Delphi, Flash, or otherprogramming languages.

A number of software components are stored in the memory 606 and areexecutable by the processor 603. In this respect, the term “executable”means a program file that is in a form that can ultimately be run by theprocessor 603. Examples of executable programs may be, for example, acompiled program that can be translated into machine code in a formatthat can be loaded into a random access portion of the memory 606 andrun by the processor 603, source code that may be expressed in properformat such as object code that is capable of being loaded into a randomaccess portion of the memory 606 and executed by the processor 603, orsource code that may be interpreted by another executable program togenerate instructions in a random access portion of the memory 606 to beexecuted by the processor 603, etc. An executable program may be storedin any portion or component of the memory 606 including, for example,random access memory (RAM), read-only memory (ROM), hard drive,solid-state drive, USB flash drive, memory card, optical disc such ascompact disc (CD) or digital versatile disc (DVD), floppy disk, magnetictape, or other memory components.

The memory 606 is defined herein as including both volatile andnonvolatile memory and data storage components. Volatile components arethose that do not retain data values upon loss of power. Nonvolatilecomponents are those that retain data upon a loss of power. Thus, thememory 606 may comprise, for example, random access memory (RAM),read-only memory (ROM), hard disk drives, solid-state drives, USB flashdrives, memory cards accessed via a memory card reader, floppy disksaccessed via an associated floppy disk drive, optical discs accessed viaan optical disc drive, magnetic tapes accessed via an appropriate tapedrive, and/or other memory components, or a combination of any two ormore of these memory components. In addition, the RAM may comprise, forexample, static random access memory (SRAM), dynamic random accessmemory (DRAM), or magnetic random access memory (MRAM) and other suchdevices. The ROM may comprise, for example, a programmable read-onlymemory (PROM), an erasable programmable read-only memory (EPROM), anelectrically erasable programmable read-only memory (EEPROM), or otherlike memory device.

Also, the processor 603 may represent multiple processors 603 and thememory 606 may represent multiple memories 606 that operate in parallelprocessing circuits, respectively. In such a case, the local interface609 may be an appropriate network 109 (FIG. 1) that facilitatescommunication between any two of the multiple processors 603, betweenany processor 603 and any of the memories 606, or between any two of thememories 606, etc. The local interface 609 may comprise additionalsystems designed to coordinate this communication, including, forexample, performing load balancing. The processor 603 may be ofelectrical or of some other available construction.

Although the content page generation application 118, the site serverapplication 115, and other various systems described herein may beembodied in software or code executed by general purpose hardware asdiscussed above, as an alternative the same may also be embodied indedicated hardware or a combination of software/general purpose hardwareand dedicated hardware. If embodied in dedicated hardware, each can beimplemented as a circuit or state machine that employs any one of or acombination of a number of technologies. These technologies may include,but are not limited to, discrete logic circuits having logic gates forimplementing various logic functions upon an application of one or moredata signals, application specific integrated circuits havingappropriate logic gates, or other components, etc. Such technologies aregenerally well known by those skilled in the art and, consequently, arenot described in detail herein.

The flowchart of FIG. 5 shows the functionality and operation of animplementation of portions of the content page generation application118. If embodied in software, each block may represent a module,segment, or portion of code that comprises program instructions toimplement the specified logical function(s). The program instructionsmay be embodied in the form of source code that comprises human-readablestatements written in a programming language or machine code thatcomprises numerical instructions recognizable by a suitable executionsystem such as a processor 603 in a computer system or other system. Themachine code may be converted from the source code, etc. If embodied inhardware, each block may represent a circuit or a number ofinterconnected circuits to implement the specified logical function(s).

Although the flowchart of FIG. 5 shows a specific order of execution, itis understood that the order of execution may differ from that which isdepicted. For example, the order of execution of two or more blocks maybe scrambled relative to the order shown. Also, two or more blocks shownin succession in FIG. 5 may be executed concurrently or with partialconcurrence. In addition, any number of counters, state variables,warning semaphores, or messages might be added to the logical flowdescribed herein, for purposes of enhanced utility, accounting,performance measurement, or providing troubleshooting aids, etc. It isunderstood that all such variations are within the scope of the presentdisclosure.

Also, any logic or application described herein, including the contentpage generation application 118, and the site server application 115,that comprises software or code can be embodied in any computer-readablemedium for use by or in connection with an instruction execution systemsuch as, for example, a processor 603 in a computer system or othersystem. In this sense, the logic may comprise, for example, statementsincluding instructions and declarations that can be fetched from thecomputer-readable medium and executed by the instruction executionsystem. In the context of the present disclosure, a “computer-readablemedium” can be any medium that can contain, store, or maintain the logicor application described herein for use by or in connection with theinstruction execution system. The computer-readable medium can compriseany one of many physical media such as, for example, electronic,magnetic, optical, electromagnetic, infrared, or semiconductor media.More specific examples of a suitable computer-readable medium wouldinclude, but are not limited to, magnetic tapes, magnetic floppydiskettes, magnetic hard drives, memory cards, solid-state drives, USBflash drives, or optical discs. Also, the computer-readable medium maybe a random access memory (RAM) including, for example, static randomaccess memory (SRAM) and dynamic random access memory (DRAM), ormagnetic random access memory (MRAM). In addition, the computer-readablemedium may be a read-only memory (ROM), a programmable read-only memory(PROM), an erasable programmable read-only memory (EPROM), anelectrically erasable programmable read-only memory (EEPROM), or othertype of memory device.

It should be emphasized that the above-described embodiments of thepresent disclosure are merely possible examples of implementations setforth for a clear understanding of the principles of the disclosure.Many variations and modifications may be made to the above-describedembodiment(s) without departing substantially from the spirit andprinciples of the disclosure. All such modifications and variations areintended to be included herein within the scope of this disclosure andprotected by the following claims.

Therefore, the following is claimed:
 1. A system, comprising: at leastone computing device; and a content page generation applicationexecutable in the at least one computing device, the content pagegeneration application, when executed, causing the at least onecomputing device to at least: receive a request to generate a contentpage; identify a page template corresponding to the requested contentpage, the page template comprising a plurality of page slotscorresponding to a plurality of content locations in the content page,the page slots being ranked according to a placement value; generate aranking of a plurality of user interface widgets according to aneffectiveness metric; match the plurality of page slots with at least asubset of the plurality of user interface widgets according to theranking and the placement value; determine, prior to transmission of thecontent page to a browser rendering the content page on behalf of aclient device, whether any of the at least a subset of the plurality ofuser interface widgets returns an error in response to a request togenerate markup language for placement in a page slot; prior torequesting that the at least a subset of the plurality of user interfacewidgets returning an error generating any markup language, initiate arequest to generate markup language for a next highest ranked userinterface widget according to the ranking that is not among the subsetof the plurality of user interface widgets; and generate the contentpage with markup language generated by the subset of the plurality ofuser interface widgets and the next highest ranked user interfacewidget.
 2. The system of claim 1, wherein the page templatecorresponding to the requested content page is dynamically generated inresponse to receiving the request to generate the content page.
 3. Thesystem of claim 1, wherein the effectiveness metric is associated withat least one of a profitability amount, a revenue amount, or a volume ofsold items associated with a corresponding user interface widget in anelectronic commerce system.
 4. The system of claim 1, wherein theeffectiveness metric is associated with an engagement metric associatedwith a corresponding user interface widget, the engagement metricexpressing a measure of an amount of user interaction with thecorresponding user interface widget relative to other user interfacewidgets.
 5. The system of claim 1, wherein the content page is furthergenerated by requesting the at least a subset of the plurality of userinterface widgets to generate markup language corresponding forplacement within the content page.
 6. The system of claim 5, wherein theranking of the plurality of user interface widgets is provided to the atleast a subset of the plurality of user interface widgets.
 7. The systemof claim 6, wherein the ranking of the plurality of user interfacewidgets according to an effectiveness metric is further based at leastin part upon scheduling data specifying scheduling constraintsassociated with at least one of the plurality of user interface widgets.8. The system of claim 7, wherein the scheduling data specifies apercentage of content pages in which a respective user interface widgetshould be placed.
 9. The system of claim 7, wherein the scheduling dataspecifies at least one of a page slot or a slot group in the pagetemplate in which a respective user interface widget should be placed.10. The system of claim 1, wherein the content page generationapplication requests the at least a subset of the plurality of userinterface widgets to generate markup language in parallel.
 11. Thesystem of claim 1, wherein at least one of the user interface widgets isconfigured to generate content based at least in part upon a useraccount.
 12. A method comprising: receiving, via at least one computingdevice, a request to generate a content page; identifying, via the atleast one computing device, a page template corresponding to therequested content page, the page template defining a plurality of pageslots corresponding to at least one content locations in the contentpage, the page slots being ranked according to a placement value;generating, via the at least one computing device, a ranking of aplurality of user interface widgets according to an effectivenessmetric; matching, via the at least one computing device, individual onesof the page slots with respective user interface widgets based at leastin part upon the ranking and the placement value of the individual onesof the page slots; determining, prior to transmission of the contentpage to a browser rendering the content page on behalf of a clientdevice, via the at least one computing device, whether any of therespective user interface widgets corresponding to the individual onesof the page slots returns an error in response to a request to generatemarkup language for placement in a page slot; prior to requesting thatthe respective user interface widget returning an error generate anymarkup language, initiating, via the at least one computing device, arequest to generate markup language for a next highest ranked userinterface widget according to the ranking that is not matched to a pageslot; and generating, via the at least one computing device, the contentpage with the respective user interface widgets corresponding to theindividual ones of the page slots.
 13. The method of claim 12, whereinthe effectiveness metric is associated with an engagement metricassociated with a corresponding user interface widget, and theengagement metric is associated with an amount of user interaction withthe corresponding user interface widget by a population of usersrelative to other user interface widgets.
 14. The method of claim 12,wherein generating the content page further comprises requesting, viathe at least one computing device, the respective interface widgets togenerate markup language.
 15. The method of claim 14, wherein requestingthe respective user interface widgets to generate markup languagefurther comprises providing the ranking of the individual ones of thepage slots to the respective user interface widgets, wherein therespective user interface widgets generate markup language based upon arespective ranking of other ones of the user interface widgets.
 16. Themethod of claim 14, wherein requesting, via the at least one computingdevice, the respective user interface widgets to generate markuplanguage is performed in parallel.